A groundbreaking new study has made significant contributions to the long-running vision of “materials that compute,” a concept that has evolved from the pioneering collaborations between researchers Balazs and Levitan. This vision aims to create materials capable of processing information in a manner similar to traditional computing systems, but with the added benefits of flexibility and adaptability inherent in physical materials.

The shipbuilding industry is on the verge of a major leap forward. Timo Alho's doctoral dissertation at the University of Vaasa, Finland, introduces a pioneering power management strategy that prevents ship blackouts. In Alho's management principle, the vessel's electrical equipment is capable of independently supporting the ship's grid without centralised commands. This makes the vessel's power systems significantly more fault-tolerant than before.

MIT astronomers used the Imaging X-ray Polarimetry Explorer to identify key features in the innermost region of a white dwarf system called an intermediate polar. This extremely energetic environment has been inaccessible to most telescopes until now.

An international study, involving researchers from the University of Tartu Institute of Chemistry, was recently published in Chemical Society Reviews. It provides the most comprehensive theoretical description to date of electrocatalysis and how its current limitations can be addressed. The research establishes a framework that helps design more efficient fuel cells, electrolysers, and other clean energy conversion devices.

Ginkgo Datapoints has launched the Virtual Cell Pharmacology Initiative (VCPI), an open-source effort to create the first standardized framework for virtual cell modeling in drug discovery. By offering free high-throughput RNA profiling and building a shared reference cell line, VCPI aims to generate more than 12 billion high-quality pharmacology data points and test at least 100,000 compounds. The initiative invites researchers and companies to contribute compounds, shape dataset priorities, and accelerate the development of predictive AI models for drug discovery.

Any plan to send a human crew to explore Moon or Mars requires many tons of propellant to blast off from Moon or Mars for return to Earth. Two propellants are needed: (a) a fuel, typically either methane or hydrogen, and (b) oxygen. Oxygen represents the greatest mass of propellant, and in situ propellant production (ISPP) for oxygen only would provide a significant mass saving. Lunar and Martian ISPP processes range widely in complexity and degree of difficulty, with equally wide ranges in risk and apparent return on investment (ROI). Moreover, operating autonomous chemical engineering plants on remote bodies, in some cases involving mining, transporting, delivering, discharging, and processing planetary soil under severe environmental conditions, presents significant challenges. Difficulty in providing power compounds the problems. Therefore, it is important to distinguish between autonomous processes that are simple and straightforward to implement that lend themselves naturally to first landings versus processes that are complex and challenging and, because of that, likely to be relegated to second-generation or even third-generation landings, if at all.